Data Engineer

Summary

Livanta is the largest healthcare quality improvement organization in the United States and trusted adviser to the Centers for Medicare and Medicaid Services (CMS). We have a unique understanding of beneficiaries and have developed programs that improve beneficiary outcomes, increase satisfaction, and drastically reduce readmissions. With technology at its core, Livanta has built a portfolio of telehealth, data analytics, and tracking mechanisms that position it to inspire a better healthcare system that connects beneficiaries, providers, and payers to improve health outcomes, increase efficiency, and manage costs.

We're on the lookout for a seasoned Data Engineer with a knack for developing scalable data pipelines capable of transforming massive amounts of raw data into actionable insights to join our vibrant team in Virginia Beach, VA OR Remote.

As a Data Engineer you will be responsible for designing, building, and maintaining data pipelines and architectures that support various business needs. The ideal candidate will have a strong background in data engineering, cloud technologies, and data management practices.

Responsibilities

1. Data Pipeline Development: Design, develop, and maintain scalable data pipelines to collect, process, and transform data from various sources.
2. Data Integration: Integrate data from multiple sources, ensuring data quality and consistency across the organization.
3. Database Management: Build and maintain data storage solutions, including data warehouses and data lakes, ensuring optimal performance and reliability.
4. Data Transformation: Implement data transformation and enrichment processes to prepare data for analysis and reporting.
5. Cloud Solutions: Leverage cloud technologies, particularly AWS, to build and manage data infrastructure.
6. Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
7. Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and related processes.

Qualifications And Requirements

1. Bachelor’s degree in computer science, Information Technology, or a related field; Master’s degree preferred.
2. Minimum of 4 years of experience in data engineering or a related field.
3. Strong experience with data pipeline/orchestration and ETL development using tools such as Apache Airflow, Kubernetes, or similar.
4. Competent in designing highly efficient programs capable of processing TBs of data.
5. Proficiency in SQL and experience with relational databases (e.g., SQLServer, PostgreSQL) and NoSQL databases (e.g., MongoDB, OpenSearch).
6. Experience with cloud technologies, particularly AWS (e.g., S3, Redshift, Glue, Lambda, Athena).
7. Strong programming skills in Python, Java, or similar languages.
8. Familiarity with big data technologies such as Apache Spark.
9. Excellent problem-solving skills and attention to detail.
10. Strong communication and interpersonal skills, with the ability to work effectively with diverse teams and stakeholders.

Desired Characteristics

1. Familiarity with data governance and data quality best practices is a plus.
2. Familiarity with healthcare data standards i.e. (FHIR, HL7).
3. Familiarity working with unstructured data i.e. pdfs, free-text, etc.
4. Data Visualization/Reporting skills (i.e. PowerBI, Tableau, or Quicksight).

Posted: 13 hours ago
Locations: Remote, Annapolis Junction, MD 20701
Department: Information Technology
Clearance Requirement: Not applicable
Telecommuting options: Full-time telecommuting is okay.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.